Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

Arnau Vich Vila; Floris Imhann; Valerie Collij; Soesma A. Jankipersadsing; Thomas Gurry; Zlatan Mujagic; Alexander Kurilshikov; Marc Jan Bonder; Xiaofang Jiang; Ettje F. Tigchelaar; Jackie Dekens; Vera Peters; Michiel D. Voskuil; Marijn C. Visschedijk; Hendrik M. van Dullemen; Daniel Keszthelyi; Morris A. Swertz; Lude Franke; Rudi Alberts; Eleonora A. M. Festen; Gerard Dijkstra; Ad A. M. Masclee; Marten H. Hofker; Ramnik J. Xavier; Eric J. Alm; Jingyuan Fu; Cisca Wijmenga Section; Daisy M. A. E. Jonkers Section; Alexandra Zhernakova; Rinse K. Weersma

doi:10.1126/scitranslmed.aap8914

Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

Arnau Vich Vila, Floris Imhann, Valerie Collij, Soesma A. Jankipersadsing, Thomas Gurry, Zlatan Mujagic, Alexander Kurilshikov, Marc Jan Bonder, Xiaofang Jiang, Ettje F. Tigchelaar, Jackie Dekens, Vera Peters, Michiel D. Voskuil, Marijn C. Visschedijk, Hendrik M. van Dullemen, Daniel Keszthelyi, Morris A. Swertz, Lude Franke, Rudi Alberts, Eleonora A. M. FestenGerard Dijkstra, Ad A. M. Masclee, Marten H. Hofker, Ramnik J. Xavier, Eric J. Alm, Jingyuan Fu, Cisca Wijmenga Section, Daisy M. A. E. Jonkers Section, Alexandra Zhernakova, Rinse K. Weersma^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.

Original language	English
Article number	8914
Number of pages	11
Journal	Science Translational Medicine
Volume	10
Issue number	472
DOIs	https://doi.org/10.1126/scitranslmed.aap8914
Publication status	Published - 19 Dec 2018

Keywords

RESISTANCE
IDENTIFICATION
INTESTINE
ALIGNMENT
MARKERS
IRON

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10.1126/scitranslmed.aap8914

Full text Final published version, 1.41 MBLicence: Taverne

Cite this

Vila, A. V., Imhann, F., Collij, V., Jankipersadsing, S. A., Gurry, T., Mujagic, Z., Kurilshikov, A., Bonder, M. J., Jiang, X., Tigchelaar, E. F., Dekens, J., Peters, V., Voskuil, M. D., Visschedijk, M. C., van Dullemen, H. M., Keszthelyi, D., Swertz, M. A., Franke, L., Alberts, R., ... Weersma, R. K. (2018). Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome. Science Translational Medicine, 10(472), Article 8914. https://doi.org/10.1126/scitranslmed.aap8914

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title = "Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome",

abstract = "Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.",

keywords = "RESISTANCE, IDENTIFICATION, INTESTINE, ALIGNMENT, MARKERS, IRON",

author = "Vila, {Arnau Vich} and Floris Imhann and Valerie Collij and Jankipersadsing, {Soesma A.} and Thomas Gurry and Zlatan Mujagic and Alexander Kurilshikov and Bonder, {Marc Jan} and Xiaofang Jiang and Tigchelaar, {Ettje F.} and Jackie Dekens and Vera Peters and Voskuil, {Michiel D.} and Visschedijk, {Marijn C.} and {van Dullemen}, {Hendrik M.} and Daniel Keszthelyi and Swertz, {Morris A.} and Lude Franke and Rudi Alberts and Festen, {Eleonora A. M.} and Gerard Dijkstra and Masclee, {Ad A. M.} and Hofker, {Marten H.} and Xavier, {Ramnik J.} and Alm, {Eric J.} and Jingyuan Fu and Section, {Cisca Wijmenga} and Section, {Daisy M. A. E. Jonkers} and Alexandra Zhernakova and Weersma, {Rinse K.}",

year = "2018",

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doi = "10.1126/scitranslmed.aap8914",

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Vila, AV, Imhann, F, Collij, V, Jankipersadsing, SA, Gurry, T, Mujagic, Z, Kurilshikov, A, Bonder, MJ, Jiang, X, Tigchelaar, EF, Dekens, J, Peters, V, Voskuil, MD, Visschedijk, MC, van Dullemen, HM, Keszthelyi, D, Swertz, MA, Franke, L, Alberts, R, Festen, EAM, Dijkstra, G, Masclee, AAM, Hofker, MH, Xavier, RJ, Alm, EJ, Fu, J, Section, CW, Section, DMAEJ, Zhernakova, A & Weersma, RK 2018, 'Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome', Science Translational Medicine, vol. 10, no. 472, 8914. https://doi.org/10.1126/scitranslmed.aap8914

TY - JOUR

T1 - Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

AU - Vila, Arnau Vich

AU - Imhann, Floris

AU - Collij, Valerie

AU - Jankipersadsing, Soesma A.

AU - Gurry, Thomas

AU - Mujagic, Zlatan

AU - Kurilshikov, Alexander

AU - Bonder, Marc Jan

AU - Jiang, Xiaofang

AU - Tigchelaar, Ettje F.

AU - Dekens, Jackie

AU - Peters, Vera

AU - Voskuil, Michiel D.

AU - Visschedijk, Marijn C.

AU - van Dullemen, Hendrik M.

AU - Keszthelyi, Daniel

AU - Swertz, Morris A.

AU - Franke, Lude

AU - Alberts, Rudi

AU - Festen, Eleonora A. M.

AU - Dijkstra, Gerard

AU - Masclee, Ad A. M.

AU - Hofker, Marten H.

AU - Xavier, Ramnik J.

AU - Alm, Eric J.

AU - Fu, Jingyuan

AU - Section, Cisca Wijmenga

AU - Section, Daisy M. A. E. Jonkers

AU - Zhernakova, Alexandra

AU - Weersma, Rinse K.

PY - 2018/12/19

Y1 - 2018/12/19

N2 - Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.

AB - Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.

KW - RESISTANCE

KW - IDENTIFICATION

KW - INTESTINE

KW - ALIGNMENT

KW - MARKERS

KW - IRON

U2 - 10.1126/scitranslmed.aap8914

DO - 10.1126/scitranslmed.aap8914

M3 - Article

SN - 1946-6234

VL - 10

JO - Science Translational Medicine

JF - Science Translational Medicine

IS - 472

M1 - 8914

ER -